Joint Estimation of Additive and Impulsive Noise Parameters in Remote Sensing Images with Fractal Structure
Mikhail Uss, Владимир Васильевич Лукин, I. V. Baryshev, Benoît Vozel, Kacem Chehdi · 2006
A novel approach to joint blind estimation of additive noise variance and probability of impulsive noise occurrence in images is put forward. It is based on using a fractal Brownian model for description of real life image characteristics. As shown, this approach allows rather accurate estimation of mixed noise parameters even for images containing a large percentage of texture regions.